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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-engineering-on-aws/
课程评论：没有评论
课程名称：AWS上的数据工程 - 完整培训 课程概述： 数据工程师是一个需求旺盛、技能人才供给不足的职位。该培训旨在提高您作为数据工程师、数据架构师等数据相关岗位的信心和可信度。在本培训中，您将学习如何实施数据管道，并监控、排除故障、优化成本和性能问题，确保符合最佳实践。 培训将增强您完成以下任务的能力： - 数据摄取和转化，编排数据管道，同时应用编程概念。 - 选择最佳数据存储，设计数据模型，编制数据架构目录，管理数据生命周期。 - 操作、维护和监控数据管道。分析数据并确保数据质量。 - 实施适当的身份验证、授权、数据加密、隐私和治理，启用日志记录。 尽管本培训主要针对AWS认证数据工程师助理（DEA-C01）认证，但同样适合希望深入了解AWS云中数据工程的学习者。课程涵盖了以下四个考试领域： 1. 数据摄取和转化 2. 数据存储管理 3. 数据操作和支持 4. 数据安全和治理 您将获得以下技能： - 数据摄取与转化：执行数据摄取，转化和处理数据，编排数据管道，应用编程概念。 - 数据存储管理：选择数据存储，了解数据目录系统，管理数据生命周期，设计数据模型和模式演进。 - 数据操作和支持：使用AWS服务自动化数据处理，使用AWS服务分析数据，维护和监控数据管道，确保数据质量。 - 数据安全和治理：应用身份验证机制，应用授权机制，确保数据加密和掩码，为审计准备日志，理解数据隐私和治理。 本课程将帮助您在数据工程领域打下坚实的基础，提升实用技能，为您的职业发展提供支持。
Data Engineer is in-demand role with a low supply of skilled professionals. This training offer you a means to build your confidence and credibility as data engineer, data architect, and other data-related roles.In this training you will develop ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices.The training will enhance your ability to complete the following tasks:· Ingest and transform data, and orchestrate data pipelines while applying programming concepts.· Choose an optimal data store, design data models, catalog data schemas, and manage data lifecycles.· Operationalize, maintain, and monitor data pipelines. Analyze data and ensure data quality.· Implement appropriate authentication, authorization, data encryption, privacy, and governance. Enable logging.Though this training is focused towards AWS Certified Data Engineer - Associate (DEA-C01) certification but it is equally useful for learners who want to know more about Data Engineering in AWS Cloud. I have covered following four exam domains in it:Domain 1: Data Ingestion and TransformationDomain 2: Data Store ManagementDomain 3: Data Operations and SupportDomain 4: Data Security and GovernanceYou will gain skills in:Data Ingestion and TransformationPerform data ingestion.Transform and process data.Orchestrate data pipelines.Apply programming concepts.Data Store ManagementChoose a data store.Understand data cataloging systems.Manage the lifecycle of data.Design data models and schema evolution.Data Operations and SupportAutomate data processing by using AWS services.Analyze data by using AWS services.Maintain and monitor data pipelines.Ensure data quality.Data Security and GovernanceApply authentication mechanisms.Apply authorization mechanismsEnsure data encryption and masking.Prepare logs for audit.Understand data privacy and governance.
